I tried to replicate a Google DeepMind paper.
D4RT reconstructs dynamic scenes across space and time from video. Source: Google DeepMind.Continue reading on Medium »
Search fresh public links, source activity, and ready-to-use post angles for Deep Learning Reconstruction.
Fresh curated links around deep learning reconstruction are collected here so marketers can spot useful updates and turn timely ideas into posts faster.
Recent items include:
Recent curated links from global sources. Generate one free draft from any story, then use SocialBu to schedule and refine your content calendar.
D4RT reconstructs dynamic scenes across space and time from video. Source: Google DeepMind.Continue reading on Medium »
A retrospective study of 77 breast cancer cases found that single-shot breast diffusion-weighted MRI with deep learning reconstruction received higher image-quality ratings, strong...
A new deep learning framework that pairs super-resolution image enhancement with swarm-optimized transfer learning classified Alzheimer's disease stages from MRI scans with up to 9...
Built on VGGT and trained without 3D ground truth, it predicts cameras, depth, and millions of 3D Gaussians in one forward pass — and…Continue reading on Medium »
Unrealizex does 3D reconstruction without using generative AI. Oscar Baechler writes: Learn how to set up UnrealizeX’s Blender extension. You can then use UnrealizeX directly in Bl...
The technology could one day decode dreams—or reveal our most private thoughts. The post This AI Reconstructs What You’re Looking at From a Brain Scan appeared first on Singularity...
Источник: Компьютерра - Журнал о науке и технологиях Компания Amap, которая отвечает за геолокационные сервисы Alibaba, представила свежую разработку — потоковую модель трехмерной...
Scientists have developed an AI model that can “read” a person’s brain activity and reconstruct what they’re looking at with striking speed and accuracy. The astonishing results ca...
Researchers in China have developed FullReg, a semi-supervised regression framework that weights pseudo-labels by data similarity and stabilizes training with cross-epoch residual...
In this tutorial, we build an end-to-end hierarchical Neural Radiance Field (NeRF) using JAX, Flax, Optax, and the volume-rendering primitives provided by jax3d. We first construct...
Источник: Компьютерра - Журнал о науке и технологиях Исследователи Центра искусственного интеллекта МГУ совместно с коллегами из AIRI и НИУ ВШЭ разработали метод, который позволяе...
Learn how DSpark speculative decoding can improve local LLM generation speed using the same GPU, with Qwen3-8B, llama.cpp, and CUDA.
Learn how DSpark speculative decoding can improve local LLM generation speed using the same GPU, with Qwen3-8B, llama.cpp, and CUDA.
A federated 4D Gaussian mapping framework lets rescue robots build living maps of collapsing ruins while transmitting only 13.45 MB per round, compressing the model to about 10 per...
Researchers have developed an attention-enhanced residual network that converts structural vibration data into Markov transition field images and detects local damage with 94.5 per...
Revisiting gradient-directed Monte Carlo — from molecular design to a 16-value weight grid.Continue reading on Medium »
Deemos has launched Hyper3D WorldGen, which converts one image into editable multi-asset 3D scenes using its SIGGRAPH-awarded CAST research. The tool targets games, film, XR and em...
Chongqing-based Dawa Technology's Scenes AI updates a persistent world state from a normal camera feed. It runs a 34B sparse model at 720p and 25fps on a single consumer RTX card.
Simulating repair in multiple sclerosis, speeding up diagnosis without a spinal tap, and what gradient descent taught us about bothContinue reading on Medium В»
Зачем нам свой улучшатор?Мы живем в эпоху доступности генеративных нейросетей, однако большинство качественных инструментов улучшения качества фото и видео остаются либо платными S...
Use SocialBu to discover ideas, generate post drafts, and schedule them across your social channels.